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20012024
most citedQuantum optimization using variational algorithms on near-term quantum devices

659 citations · 6.5k across the 65 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

quant-ph2020★ 14 cited

Ultrahigh Vacuum Packaging and Surface Cleaning for Quantum Devices

M. Mergenthaler, S. Paredes, P. Müller +7

We describe design, implementation and performance of an ultra-high vacuum (UHV) package for superconducting qubit chips or other surface sensitive quantum devices. The UHV loading…

quant-ph2020★ 16 cited

High-speed calibration and characterization of superconducting quantum processors without qubit reset

Max Werninghaus, Daniel Egger, Stefan Filipp

To Characterize and calibrate quantum processing devices a large amount of measurement data has to be collected. Active qubit reset increases the speed at which data can be gathere…

quant-ph2020★ 80 cited

Integrated tool-set for Control, Calibration and Characterization of quantum devices applied to superconducting qubits

Nicolas Wittler, Federico Roy, Kevin Pack +6

Efforts to scale-up quantum computation have reached a point where the principal limiting factor is not the number of qubits, but the entangling gate infidelity. However, the highl…

quant-ph2020★ 78 cited

Benchmarking the noise sensitivity of different parametric two-qubit gates in a single superconducting quantum computing platform

M. Ganzhorn, G. Salis, D. J. Egger +8

The possibility to utilize different types of two-qubit gates on a single quantum computing platform adds flexibility in the decomposition of quantum algorithms. A larger hardware-…

quant-ph2020★ 174 cited

Leakage reduction in fast superconducting qubit gates via optimal control

Max Werninghaus, Daniel J. Egger, Federico Roy +3

Reaching high speed, high fidelity qubit operations requires precise control over the shape of the underlying pulses. For weakly anharmonic systems, such as superconducting transmo…

quant-ph2020★ 2 cited

Time-resolved tomography of a driven adiabatic quantum simulation

Gian Salis, Nikolaj Moll, Marco Roth +2

A typical goal of a quantum simulation is to find the energy levels and eigenstates of a given Hamiltonian. This can be realized by adiabatically varying the system control paramet…